Genome-wide DNA methylation and long-term ambient air pollution exposure in Korean adults

被引:49
|
作者
Lee, Mi Kyeong [1 ]
Xu, Cheng-Jian [2 ,3 ,4 ]
Carnes, Megan U. [5 ]
Nichols, Cody E. [1 ]
Ward, James M. [1 ]
Kwon, Sung Ok [6 ,7 ]
Kim, Sun-Young [8 ]
Kim, Woo Jin [6 ,7 ]
London, Stephanie J. [1 ]
机构
[1] NIEHS, Epidemiol Branch, Div Intramural Res, US Dept HHS,NIH, Res Triangle Pk, NC 27709 USA
[2] Univ Groningen, Univ Med Ctr Groningen, Beatrix Childrens Hosp, Dept Pediat Pulmonol & Pediat Allergy, Groningen, Netherlands
[3] Univ Groningen, Univ Med Ctr Groningen, Dept Genet, Groningen, Netherlands
[4] Univ Groningen, Univ Med Ctr Groningen, GRIAC Res Inst, Groningen, Netherlands
[5] OmicSoft, QIAGEN Bioinformat, Cary, NC 27513 USA
[6] Kangwon Natl Univ Hosp, Kangwon Natl Univ, Sch Med, Dept Internal Med, Chunchon 24289, South Korea
[7] Kangwon Natl Univ Hosp, Kangwon Natl Univ, Sch Med, Ctr Environm Hlth, Chunchon 24289, South Korea
[8] Natl Canc Ctr, Grad Sch Canc Sci & Policy, Dept Canc Control & Populat Hlth, Goyang 10408, South Korea
基金
新加坡国家研究基金会;
关键词
Air pollution; Particulate matter; Nitrogen dioxide; Epigenesis; genetic; Epigenomics; PARTICULATE MATTER; PREDICTION; ATHEROSCLEROSIS; PACKAGE;
D O I
10.1186/s13148-019-0635-z
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundAmbient air pollution is associated with numerous adverse health outcomes, but the underlying mechanisms are not well understood; epigenetic effects including altered DNA methylation could play a role. To evaluate associations of long-term air pollution exposure with DNA methylation in blood, we conducted an epigenome-wide association study in a Korean chronic obstructive pulmonary disease cohort (N=100 including 60 cases) using Illumina's Infinium HumanMethylation450K Beadchip. Annual average concentrations of particulate matter 10m in diameter (PM10) and nitrogen dioxide (NO2) were estimated at participants' residential addresses using exposure prediction models. We used robust linear regression to identify differentially methylated probes (DMPs) and two different approaches, DMRcate and comb-p, to identify differentially methylated regions (DMRs).ResultsAfter multiple testing correction (false discovery rate <0.05), there were 12 DMPs and 27 DMRs associated with PM10 and 45 DMPs and 57 DMRs related to NO2. DMP cg06992688 (OTUB2) and several DMRs were associated with both exposures. Eleven DMPs in relation to NO2 confirmed previous findings in Europeans; the remainder were novel. Methylation levels of 39 DMPs were associated with expression levels of nearby genes in a separate dataset of 3075 individuals. Enriched networks were related to outcomes associated with air pollution including cardiovascular and respiratory diseases as well as inflammatory and immune responses.ConclusionsThis study provides evidence that long-term ambient air pollution exposure impacts DNA methylation. The differential methylation signals can serve as potential air pollution biomarkers. These results may help better understand the influences of ambient air pollution on human health.
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页数:12
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